(1) Email-essay scenario: The data science team you work on Netflix, is interested in using a data analysis technique new to the team/company. You were tasked with gaining a general overview of the technique and writing a medium length email (~3 paragraphs) to summarize your findings. Include:
a description of the technique for a technical audience, you want to give them an introduction to the method that will be a jumping off point for them learning more detail and discussing the method
explain the value of the method
the types of data it can be used for
the method’s limitations
Choosing a technique: Choose a data analysis technique you are interested in learning more about, based on your analytics skill level. For example, if you’ve never done a regression, pick a regression or correlation or something simpler. If you have more analytics experience, use this as an opportunity to learn more about a method you’re interested in or dig deeper into a method from another class. You are welcome to describe how this analysis method could be used for the data / business question from your case study.
Some ideas: regression, cross-validation, filtering (signal processing), deep learning, principal components analysis (PCA), random forests, randomization techniques, support vector machine (SVM)
Requirements:
Use in line citations where appropriate
Include a reference list/bibliography
Minimum 300 words
